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  • What Is Mobile Application Testing?

    What Is Mobile Application Testing?

    In 2025, 142.2 billion apps and games were downloaded, with an expected 292 billion apps downloaded in 2026. With this level of app usage, users’ expectations for their mobile experience have never been higher. A slow load time, a screen that renders incorrectly on a particular device, or a login that fails under poor network conditions are no longer minor inconveniences; they’re reasons to uninstall.

    For software testing professionals, this shift has created one of the most complex and fast-moving testing challenges in the industry. Mobile application testing is not simply a smaller version of web or desktop testing. It is its own discipline, shaped by unique constraints, platforms, and user behaviours.

    So what exactly does mobile application testing involve, why does it matter, and how does mobile automation fit into a modern testing approach?

    What is mobile application testing?

    Mobile application testing is the process of evaluating a mobile app to ensure it behaves correctly, performs reliably, and delivers a good user experience across the range of devices and conditions it will encounter in the real world.

    Unlike desktop software, which typically runs on a relatively controlled set of operating environments, mobile apps must work across hundreds of device models, multiple operating system versions, different screen sizes and resolutions, varying network conditions, and a range of user interaction patterns, from tap and swipe to voice input and device rotation.

    Mobile application testing covers a wide spectrum of quality concerns, including functional correctness, usability, performance, security, compatibility, and accessibility. Each of these areas brings its own challenges and requires deliberate test design.

    Why mobile testing is uniquely challenging

    The complexity of mobile testing stems from the sheer variety of conditions an app must handle. A tester validating a mobile banking app, for example, needs to consider not just whether a transfer works correctly, but whether it works correctly on an older Android device running a previous OS version, on a poor 3G connection, when the app is interrupted by an incoming call, and when the screen is rotated mid-transaction.

    This fragmentation is one of the defining characteristics of mobile application testing. There is no single “standard” device or environment. Teams must make deliberate decisions about which devices and OS versions represent their user base and prioritise their coverage accordingly.

    Beyond fragmentation, mobile apps also introduce unique performance and security considerations. Battery consumption, memory usage, data usage, and response times under real-world network conditions all fall within scope. Security testing takes on added importance because mobile devices often store sensitive personal and financial data, and apps may communicate over insecure public networks.

    Types of mobile application testing

    A thorough mobile testing approach will typically include several distinct types of testing.

    Functional testing confirms that the app does what it is supposed to do. This includes verifying user journeys, validating inputs, handling errors, and integrating with back-end services.

    Compatibility testing checks that the app works correctly across the target range of devices, OS versions, and screen sizes. This is particularly important for Android, where device fragmentation is significant.

    Performance testing assesses how the app behaves under load and in degraded conditions, including slow networks, low battery, and limited memory.

    Usability testing evaluates whether the interface is intuitive and accessible, and whether the overall experience meets user expectations.

    Security testing identifies vulnerabilities that could expose user data or allow unauthorised access, including issues with data storage, session management, and API communication.

    Interruption testing verifies that the app handles real-world interruptions gracefully, such as incoming calls, push notifications, or app switching.

    The role of mobile automation

    Manual testing alone is not sufficient for mobile application testing at scale. The volume of device and OS combinations, combined with the pace of modern release cycles, makes comprehensive manual coverage impractical. This is where mobile automation becomes essential.

    Mobile automation refers to the use of tools and frameworks to execute tests programmatically, without manual intervention. Rather than a tester manually tapping through an app on a physical device each time a change is released, automated scripts perform those interactions repeatedly and consistently. This allows teams to run regression checks quickly, catch regressions early, and maintain confidence across frequent releases.

    Commonly used mobile automation frameworks include Appium, which supports both iOS and Android and works across native, hybrid, and mobile web apps, as well as platform-specific tools such as XCUITest for iOS and Espresso for Android. Cloud-based device labs allow teams to run automated tests across a wide range of real devices without maintaining physical hardware.

    However, mobile automation is not simply a matter of writing scripts and running them. Effective mobile automation requires thoughtful decisions about what to automate, what to keep manual, and how to structure tests so they remain stable and maintainable over time. Brittle tests that break with every UI change are a common pitfall and can cost teams more effort than they save.

    What makes automated mobile app testing effective?

    The most effective automated mobile app testing strategies share several characteristics.

    They focus automation on stable, high-value scenarios. These are the core user journeys, regression-prone areas, and checks that need to run frequently. They avoid over-automating at the UI level, instead using API and service-level tests where possible for speed and reliability.

    They treat test code with the same care as production code, using page object models or similar patterns to make tests easier to maintain. And they integrate automated mobile app testing into CI/CD pipelines, so feedback is delivered quickly and consistently with every build.

    Automation can complement exploratory testing. Experienced testers using real devices can catch usability issues, unexpected interactions, and edge cases that automated scripts are unlikely to surface.

    Building mobile testing skills

    Mobile application testing is a growing specialism within the broader software testing profession. As organisations invest more in mobile products, the demand for testers who understand mobile-specific challenges, mobile automation tooling, and how to design effective test strategies for mobile environments continues to increase.

    Building these skills starts with a strong foundation in core testing principles, such as test design techniques, risk-based thinking, and understanding quality from the user’s perspective. From there, testers can develop practical knowledge of mobile platforms, automation frameworks, and how to integrate testing into agile and DevOps delivery models.

    How TSG Training supports your mobile testing career

    At TSG Training, our courses are designed to equip testers with the skills they need to work effectively in modern software environments, including those where mobile application testing and mobile automation play a central role.

    Whether you are building foundational knowledge or developing specialist capabilities in automated mobile app testing, our programmes focus on practical skills that translate directly to real-world work. Explore our automation training courses and software testing courses to find the right path for where you are in your career.

  • 10 Essential Skills to Become a Project Manager

    10 Essential Skills to Become a Project Manager

    From technology and construction to healthcare and finance, organisations rely on skilled project managers to deliver complex initiatives on time and within budget. Consequently, it is one of the most dynamic and rewarding career paths.

    But what does it really take to succeed in this role? Many aspiring professionals ask, what are project management skills, and which ones truly matter?

    Ten essential project management skills for 2026

    1. Leadership

    At its core, project management is about leading people toward a shared goal. Leadership is more than authority; it involves:

    • Inspiring confidence
    • Setting direction
    • Supporting team members
    • Encouraging accountability
    • Navigating uncertainty

    An effective project manager motivates individuals with different personalities, skills, and priorities. They create clarity in ambiguity and maintain momentum during challenges. Leadership is arguably the most important of all project management skills because projects succeed through people.

    2. Communication

    Clear and effective communication sits at the heart of every successful project.

    Project managers communicate with a variety of people, including stakeholders, sponsors and vendors. Project managers will also be communicating with team members through to senior leaders. As a result, they must translate technical information into business language and vice versa.

    Strong communication skills required for project managers include:

    • Active listening
    • Clear reporting
    • Concise documentation
    • Constructive feedback
    • Conflict resolution

    When communication fails, misunderstandings multiply. When it succeeds, collaboration thrives. If someone asks, “what are project management skills?”, communication will always be near the top of the list.

    3. Planning and organisation

    Projects are temporary systems with defined objectives, timelines, and constraints; as a result, careful planning is needed to meet objectives and timelines. Planning involves:

    • Defining scope
    • Creating schedules
    • Allocating resources
    • Estimating costs
    • Identifying dependencies

    Organisational ability ensures tasks are tracked, priorities are managed, and deadlines are met. Without structured planning, projects drift. With strong organisational project management skills, teams have clarity and direction, which helps lead to project success.

    4. Risk management

    Every project involves uncertainty. Risk management requires identifying potential threats and assessing their probability and likely impact. From there, project managers then have to develop mitigation strategies and continue to monitor risks throughout the lifecycle.

    Skilled project managers anticipate problems before they escalate, rather than reacting to crises, they proactively reduce exposure. Understanding risk is fundamental when exploring what are project management skills that differentiate competent managers from exceptional ones.

    5. Time management

    Time constraints define most projects.

    A project manager must:

    • Prioritise tasks
    • Balance competing deadlines
    • Prevent scope creep
    • Manage milestones
    • Ensure timely delivery

    Poor time management results in missed deadlines and stakeholder frustration. Strong time management skills keep teams focused on outcomes rather than distractions.

    6. Budget management

    Projects operate within financial constraints. Budget management includes:

    • Cost estimation
    • Expense tracking
    • Financial forecasting
    • Resource optimisation
    • Reporting on financial performance

    Financial discipline is critical. Overruns can damage trust and jeopardise future initiatives. Even in non-financial roles, understanding the budget impact is an essential project management skill.

    7. Problem-solving

    Projects rarely proceed exactly as planned. Unexpected issues may include resource shortages or supplier delays, technical obstacles, or changing requirements. Consequently, a project manager must evaluate options quickly and make informed decisions.

    Effective problem-solving requires skills such as analytical thinking, collaborating with team members and stakeholders, making sense of data, and staying confident and competent under pressure.

    Project managers’ problem-solving skills can help ensure that minor setbacks don’t become major disruptions.

    8. Stakeholder management

    Stakeholders often have differing expectations, priorities, and interests.

    Managing stakeholders involves:

    • Identifying key influencers
    • Understanding needs and concerns
    • Setting realistic expectations
    • Maintaining transparency
    • Negotiating compromises

    Successful project managers build strong relationships across organisations and third parties to help ensure project success.

    9. Agility

    Projects operate in rapidly changing environments, market shifts, regulatory updates, and evolving technologies, which require flexibility. Being agile and adaptable as a project manager makes it easier to adjust plans, respond to feedback and pivot while still maintaining focus on the project’s core objectives and scope. Having these skills also means project managers are more likely to create iterative delivery processes, which can help manage expectations and create an environment where change can be embraced.

    Rigid management styles can hinder innovation, while flexible leadership fosters resilience.

    10.Emotional intelligence

    Emotional intelligence (EQ) plays a crucial role in effective project leadership. It involves coaching team members and fostering self-awareness, empathy, and sensitivity, while also ensuring emotional regulation.

    Projects involve people, and people bring emotions, motivations, and stress. A project manager with strong emotional intelligence can:

    • Resolve conflicts diplomatically
    • Recognise and respond to burnout
    • Encourage collaboration and healthy communication
    • Build trust, rapport and empathy

    Increasingly, emotional intelligence is recognised as one of the most valuable project management skills in 2026.

    Why these skills matter

    Organisations rely on project managers to deliver change. Whether launching a new product, implementing software, or restructuring operations, project managers ensure strategic initiatives become a reality.

    Strong project management skills lead to:

    • Improved delivery performance
    • Greater stakeholder confidence
    • Reduced risk exposure
    • Higher team morale
    • Better resource utilisation

    In contrast, skill gaps can result in missed deadlines, budget overruns, and frustrated teams. However, it is possible to develop these skills through

    • Formal training
    • Professional certifications
    • Mentorship
    • On-the-job experience
    • Reflective practice

    Certifications such as PRINCE2®, MSP®, or Agile frameworks provide structured knowledge, while real-world application strengthens practical capability. Soft skills training can also help with developing attributes such as emotional intelligence.

    If you’re looking to bolster your project management skills, talk to TSG Training, which offers training, certification and career development to ensure you have the skills to deliver projects effectively and successfully.

  • Best Practices for Planning Automated Test Efforts

    Best Practices for Planning Automated Test Efforts

    With Agile, DevOps, and continuous integration driving rapid release cycles, organisations rely on automation to maintain quality without slowing innovation. And that’s why automated tests become so important.However, success with automation is not guaranteed.

    Poorly planned initiatives often lead to bloated frameworks, fragile scripts, spiralling maintenance costs, and disappointing return on investment. The difference between success and frustration lies in planning.

    So, what are the testing best practice principles that can help organisations design, implement, and sustain effective automation strategies?

    Start with clear objectives

    Before writing a single script, define why you are investing in automated testing. There are lots of reasons to automate, but it is really important to understand why it’s useful for you. Some common reasons might include reducing regression testing time, increasing release confidence and lowering long-term execution costs. Other reasons may be to support continuous integration or improve defect detection speed.

    It’s important that automation solves a business problem, rather than simply adding it to the process for its own sake.

    Once you have a reason to automate, it is then important to clarify:

    • What success looks like
    • Which metrics will demonstrate value
    • How automation aligns with organisational priorities

    Without clear objectives, automation efforts can drift, leading to wasted effort and minimal impact.

    Understand what should (and shouldn’t) be automated

    One of the most important elements of automated testing best practice is selecting the right test cases. Not everything should be automated.

    Strong candidates for automation include:

    • Stable, repeatable regression tests
    • High-volume data-driven scenarios
    • Smoke tests for continuous integration
    • Critical business workflows
    • API-level validation

    Poor candidates include:

    • Frequently changing functionality
    • One-off exploratory tests
    • Highly visual usability checks
    • Early prototype features

    Automation is most effective when applied strategically. Attempting to automate everything leads to high maintenance and diminishing returns.

    Adopt a risk-based approach

    Automation planning should align with business risk. It’s important to consider what’s important to the business. For example, what are the integrations that are business critical, or which features generate the most revenue?

    It may also help to consider the risks, such as which failures could cause the greatest reputational damage.

    By prioritising high-risk areas, teams maximise the value of automated testing. Consequently, risk-based automation ensures:

    • Critical paths are continuously validated
    • Resources are allocated wisely
    • Automation supports business resilience

    This alignment between technical activity and business impact is a hallmark of best practices in automated testing.

    Build a maintainable framework

    The long-term cost of automated testing lies not in initial development but in maintenance.

    A poorly designed framework leads to:

    • Fragile scripts
    • Frequent false failures
    • High update effort
    • Loss of team confidence

    Best practice principles include:

    • Modular design
    • Reusable components
    • Clear naming conventions
    • Separation of test logic and test data
    • Consistent coding standards

    Investing in maintainability from the outset prevents technical debt within your automation suite. Remember, automation is software development. It requires the same engineering discipline as production code.

    Integrate automation into CI/CD pipelines

    Automation delivers maximum value when integrated into continuous integration and delivery workflows.

    Embedding automated testing into pipelines allows teams to:

    • Detect defects immediately
    • Prevent faulty builds from progressing
    • Gain rapid feedback on code changes
    • Increase deployment confidence

    Fast feedback reduces defect resolution costs and supports rapid iteration. Automation that sits outside the delivery pipeline often becomes an afterthought. True automated testing best practice places automation at the heart of delivery.

    Establish clear roles and responsibilities

    Automation initiatives often fail because ownership is unclear.

    Questions to address early include:

    • Who designs the automation strategy?
    • Who writes and reviews scripts?
    • Who maintains the framework?
    • Who monitors execution results?

    Automation is a team responsibility. Collaboration between testers, developers, DevOps engineers, and product owners ensures alignment and sustainability. As a team, it is really important not delegate automation to a single individual. Shared ownership increases resilience and continuity of knowledge.

    Plan for ongoing maintenance

    Automation is not a one-time project. Applications evolve. Requirements change. Interfaces shift. Without structured maintenance planning, automated testing quickly becomes unreliable.

    Best practice includes:

    • Allocating time each sprint for automation updates
    • Regularly reviewing obsolete test cases
    • Refactoring scripts to improve stability
    • Monitoring flaky tests and addressing root causes

    Maintenance effort should be built into capacity planning rather than treated as an unexpected burden.

    Measure ROI and effectiveness

    Automated testing best practice involves measurement.

    Useful metrics include:

    • Execution time saved
    • Reduction in manual regression effort
    • Defect detection rate
    • Pipeline failure frequency
    • Maintenance effort versus execution benefit

    These insights allow teams to refine strategy and demonstrate value to stakeholders. If automation is not delivering a measurable benefit, reassessment is essential.

    Invest in skills and training

    Automation success depends heavily on capability.

    Teams require skills in:

    • Programming
    • Framework design
    • API testing
    • Version control
    • CI/CD integration
    • Test data management

    Investing in training ensures that automated testing is sustainable rather than fragile. Cross-skilling manual testers in automation techniques can also strengthen career development and team flexibility.

    Start small and scale strategically

    Large-scale automation transformations can be overwhelming. Therefore, it helps to break it down into smaller steps:

    1. Identify a high-impact regression suite
    2. Automate incrementally
    3. Measure results
    4. Refine the framework
    5. Expand gradually

    This phased approach reduces risk and builds stakeholder confidence. Attempting to automate an entire application at once often results in incomplete frameworks and burnout. Scalability should be deliberate, not rushed.

    Balance automation and exploratory testing

    Automation increases efficiency, but it does not replace human insight. Exploratory testing remains essential for:

    • Discovering unexpected behaviours
    • Assessing usability
    • Identifying edge cases
    • Evaluating user experience

    Automated testing handles predictable validation. Humans handle creative investigation. The most mature organisations strike a balance between automation coverage and exploratory depth.

    Avoid the “automation for its own sake” trap

    Automation should never become a vanity metric. High numbers of automated tests do not necessarily indicate high quality.

    Key questions to ask:

    • Are we automating meaningful scenarios?
    • Are we reducing real risk?
    • Are we improving release confidence?
    • Are we lowering execution costs?

    Automated testing best practice focuses on value, not volume. Quality over quantity ensures sustainable success.

    If you’re looking to strengthen your testing with automation best practices, check out our training courses to build automation skills in your testing team.

  • 10 Powerful Open-Source Tools for Security Testing

    10 Powerful Open-Source Tools for Security Testing

    In an era of increasing cyber threats, security can no longer be treated as a secondary concern. Web applications, APIs, and cloud-based systems are prime targets for attackers seeking data breaches, financial gain, or reputational damage.

    Organisations of all sizes must adopt proactive approaches to identifying vulnerabilities before malicious actors exploit them. Fortunately, there are powerful open-source security testing tools available that help teams detect weaknesses efficiently and cost-effectively.

    So here are 10 widely used open-source security testing tools for web application environments, along with a quick explainer on how they help build more secure systems.

    1.OWASP ZAP (Zed Attack Proxy)

    OWASP ZAP is one of the most popular open-source security testing tools for web application testing. Maintained by the OWASP community, it is designed to identify vulnerabilities in web applications during development and testing.

    Key features include:

    • Automated scanners
    • Passive and active scanning modes
    • Intercepting proxy capabilities
    • Fuzzing tools
    • API testing support

    ZAP integrates easily into CI/CD pipelines, making it ideal for DevSecOps environments. It is particularly effective for identifying common vulnerabilities such as cross-site scripting (XSS) and SQL injection.

    2.Nmap

    Nmap (Network Mapper) is a powerful network discovery and vulnerability scanning tool. While not limited to web applications, it plays a crucial role in identifying open ports, services, and potential entry points.

    Capabilities include:

    • Port scanning
    • OS detection
    • Service version detection
    • Scriptable vulnerability detection

    Nmap helps security teams understand the attack surface of their systems, making it a foundational component of many security testing strategies.

    3.Nikto

    Nikto is a web server scanner that identifies dangerous files, outdated server software, and misconfigurations.

    It checks for:

    • Default files and programs
    • Misconfigured servers
    • Known vulnerabilities
    • Insecure HTTP headers

    Nikto is lightweight and easy to use, making it an excellent addition to a toolkit for security testing in web application environments.

    4.Metasploit Framework

    Metasploit is a widely respected penetration testing framework that allows security professionals to simulate real-world attacks.

    Its features include:

    • Exploit development and execution
    • Payload generation
    • Post-exploitation tools
    • Extensive vulnerability database

    Although more advanced, Metasploit is invaluable for validating whether detected vulnerabilities can actually be exploited.

    5.SQLmap

    SQLmap automates the detection and exploitation of SQL injection vulnerabilities.

    It can:

    • Identify injection points
    • Extract database information
    • Bypass authentication
    • Enumerate users and tables

    Given that SQL injection remains a common vulnerability, SQLmap remains one of the most focused and effective security testing tools available.

    6.Wireshark

    Wireshark captures and analyses network traffic in real time. While it is not exclusively a web application tool, it plays a critical role in identifying insecure transmissions.

    Security professionals use Wireshark to:

    • Detect unencrypted traffic
    • Analyse suspicious behaviour
    • Identify data leakage
    • Troubleshoot network anomalies

    Understanding traffic flow is essential when assessing application security.

    7.OpenVAS

    OpenVAS (Open Vulnerability Assessment System) is a comprehensive vulnerability scanner.

    It provides:

    • Automated scanning
    • Detailed reporting
    • Regular vulnerability updates
    • Risk assessment scoring

    OpenVAS is well-suited for organisations seeking enterprise-grade open-source security testing tools.

    8.Wfuzz

    Wfuzz is a flexible web application fuzzer used to discover hidden resources, directories, and parameters.

    Its capabilities include:

    • Brute-force directory discovery
    • Parameter fuzzing
    • Authentication bypass testing
    • Custom wordlists

    Fuzzing is an effective technique for uncovering unexpected vulnerabilities in web applications.

    9.SonarQube

    SonarQube’s Community Edition offers static code analysis, including security vulnerability detection.

    It identifies:

    • Code smells
    • Security hotspots
    • Bugs
    • Maintainability issues

    By analysing code early, teams reduce security risks before deployment. Static analysis complements dynamic security testing tools for web application environments.

    10. Gobuster

    Gobuster is a fast directory and DNS brute-forcing tool.

    It is particularly effective for:

    • Discovering hidden directories
    • Enumerating subdomains
    • Identifying exposed endpoints

    Attackers frequently exploit forgotten or hidden resources. Gobuster helps teams uncover these weak points before adversaries do.

    Why use open-source security testing tools?

    Open-source tools provide several advantages:

    • Cost efficiency
    • Community-driven updates
    • Transparency
    • Flexibility and customisation
    • CI/CD integration capabilities

    They allow organisations to build robust security programmes without heavy licensing costs. However, tools alone are not enough.

    Effective security testing requires:

    • Skilled professionals
    • Clear processes
    • Risk-based prioritisation
    • Continuous monitoring
    • Secure development practices

    Open-source solutions provide powerful capabilities, but strategy and expertise determine success. And it is important to remember that no single tool can cover all vulnerabilities.

    A layered approach combines:

    • Static analysis
    • Dynamic testing
    • Network scanning
    • Fuzzing
    • Penetration testing
    • Continuous integration checks

    By integrating multiple security testing tools, organisations reduce blind spots and strengthen overall resilience.

    For web-facing systems in particular, using a combination of specialised security testing tools for web application environments ensures comprehensive coverage of common attack vectors.

    For testers looking to build a recognised foundation in security testing, the ISTQB Certified Tester Security Tester (CT-SEC) from TSG Training covers the principles, techniques and tools needed to approach security testing with confidence and credibility.

  • What Are the Advantages of Test Automation?

    What Are the Advantages of Test Automation?

    As software delivery cycles accelerate, organisations are under increasing pressure to release high-quality products quickly and consistently. Agile methodologies, DevOps pipelines, and continuous integration have transformed the way teams build software and testing must evolve alongside them. This is where test automation plays a critical role.

    Understanding the benefits of automation testing is essential for organisations seeking to scale efficiently, reduce risk, and maintain competitive advantage. While automation is not a replacement for skilled testers, it is a powerful enabler of quality at speed.

    The benefits of automation testing

    Faster execution and feedback

    One of the most obvious advantages of automation testing is speed. Automated tests can run significantly faster than manual tests and can execute 24/7 without fatigue.

    Regression suites that may take days manually can often be completed in hours, or even minutes, when automated.

    This rapid execution enables:

    • Faster feedback on code changes
    • Immediate detection of defects
    • Shorter release cycles
    • Increased confidence in deployments

    In CI/CD environments, quick feedback is essential. Developers can identify issues early, fix them promptly, and avoid costly downstream rework. Speed alone makes automation a strategic asset.

    Improved test coverage

    Manual testing has natural limitations. Time constraints often mean that only critical paths are tested thoroughly. One of the key benefits of automation testing is expanded coverage.

    Automation allows teams to:

    • Execute large volumes of test cases
    • Validate multiple data combinations
    • Run cross-browser and cross-platform checks
    • Perform repetitive regression testing reliably

    This broader coverage reduces the likelihood of undetected defects reaching production. While manual exploratory testing remains vital, automation enhances coverage in predictable, repeatable areas.

    Greater accuracy and reliability

    Humans are skilled at analysis and creative problem-solving, but repetitive tasks can introduce human error. Automated tests execute the same steps exactly the same way every time. This consistency ensures:

    • Accurate verification of expected results
    • Reliable validation of calculations
    • Elimination of skipped steps
    • Reduction of oversight errors

    When stability is essential, automation provides dependable repetition without variation. Reliability is one of the strongest advantages of automation testing in high-volume regression environments.

    Cost efficiency over time

    Although automation requires an upfront investment in tools, frameworks, and training, the long-term financial return is significant. Automated tests reduce the need for repetitive manual effort, leading to:

    • Lower regression testing costs
    • Reduced overtime during release cycles
    • Faster defect resolution
    • Fewer production incidents

    The benefits of automation testing become particularly clear in long-running projects or products with frequent releases. By catching defects early and preventing costly rework, automation contributes directly to cost control.

    Supports continuous integration and DevOps

    Modern delivery pipelines depend on automation. Without automated testing, continuous integration would be impractical. Each code commit must be validated quickly to ensure system stability.

    Automation enables:

    • Automated build verification
    • Continuous regression testing
    • Pipeline gatekeeping
    • Rapid release confidence

    The ability to test automatically within CI/CD pipelines ensures quality keeps pace with development. In DevOps cultures, automation is not optional; it is foundational.

    Reusability of test scripts

    Well-designed automated tests can be reused across multiple cycles, releases, or even projects. Reusable scripts:

    • Save time
    • Improve efficiency
    • Reduce duplication of effort
    • Ensure consistency across environments

    For example, a login validation script can be executed repeatedly across different builds and platforms.

    Over time, a well-maintained automation suite becomes a valuable organisational asset. This reusability is a powerful component of the benefits of automation testing.

    Increased team productivity

    Automation frees testers from repetitive tasks, allowing them to focus on higher-value activities such as:

    • Exploratory testing
    • Risk analysis
    • Usability evaluation
    • Test strategy refinement
    • Collaboration with stakeholders

    Rather than spending hours executing routine regression scripts, testers can apply critical thinking and creativity. This shift enhances job satisfaction and drives more meaningful quality improvement.

    Early defect detection

    Automation facilitates earlier defect detection, especially when integrated into development workflows. By running tests immediately after code commits, teams can:

    • Identify issues before integration conflicts grow
    • Isolate root causes quickly
    • Reduce debugging complexity
    • Prevent defect accumulation

    Fixing a defect early is significantly cheaper than resolving it in production. Early detection reduces both financial and reputational risk.

    Enhanced scalability

    As systems grow in complexity, manual testing becomes increasingly difficult to scale. Automation scales efficiently across:

    • Large datasets
    • Multiple browsers
    • Different operating systems
    • High transaction volumes
    • Multiple integration points

    This scalability ensures testing keeps pace with system growth. For organisations managing enterprise-level platforms or global applications, scalability is one of the most important advantages of automation testing.

    Improved reporting and traceability

    Automated tools generate detailed logs and reports, providing transparency into test execution. These reports can include:

    • Pass/fail status
    • Execution time
    • Error logs
    • Screenshots of failures
    • Historical trend analysis

    Comprehensive reporting enhances traceability and supports data-driven decision-making. Stakeholders gain visibility into product quality, enabling informed release decisions.

    Supports performance and load testing

    Automation extends beyond functional validation. Performance and load testing tools simulate high-traffic volumes and stress conditions that are impossible to replicate manually. This allows teams to:

    • Assess system stability under pressure
    • Identify bottlenecks
    • Validate scalability
    • Ensure consistent user experience

    These capabilities are crucial for high-traffic web applications and enterprise systems.

    Strengthens risk management

    Automation reduces risk by continuously validating critical business workflows. High-risk areas, such as payment processing or authentication, can be tested repeatedly without manual overhead.

    This consistent validation increases release confidence and reduces the likelihood of catastrophic failures. In regulated industries, automated evidence of testing can also support compliance requirements.

    Encourages standardisation

    Automation frameworks promote structured test design and documentation standards. Standardised scripts and processes:

    • Improve collaboration
    • Reduce ambiguity
    • Support onboarding
    • Enhance maintainability

    This standardisation contributes to long-term efficiency and organisational maturity.

    Balancing automation and manual testing

    While the advantages of automation testing are substantial, it is important to recognise its limitations.

    Automation is best suited for:

    • Repetitive validation
    • Stable functionality
    • Data-driven testing
    • Regression suites

    Manual testing remains essential for:

    • Exploratory testing
    • User experience evaluation
    • Complex edge cases
    • Early-stage prototypes

    The most effective testing strategies combine automation efficiency with human insight. Remember, automation does not replace expertise; it amplifies it.

    If you are ready to formalise your automation expertise, the ISTQB Certified Tester Test Automation Engineer (CTAL-TAE) from TSG Training gives you the skills and recognised certification to design, implement and lead automation that delivers real results.

  • How software testing certifications boost careers

    How software testing certifications boost careers

    Organisations rely on robust systems to serve customers, manage data, and stay competitive. This means exceptional software. As a result, skilled testers are in high demand. But with increasing competition in the job market, how do you stand out?

    One powerful differentiator is a recognised software testing certification.

    Whether you’re just starting your tester career or looking to move into leadership, certifications provide structure, credibility, and progression. So, how can certifications transform your professional trajectory and why do they remain one of the smartest investments for testing professionals in 2026 and beyond?

    The evolving role of the software tester

    Software testing has evolved far beyond manual test execution. Today’s testers are expected to:

    • Contribute to Agile teams
    • Understand DevOps practices
    • Work with automation frameworks
    • Support continuous integration and delivery
    • Assess risk and quality strategically

    Organisations now view testing as a critical business function rather than a final checkpoint before release.

    As expectations grow, so does the need for formalised knowledge. A recognised software testing certification validates that you understand industry best practices, terminology, and methodologies.

    What is a software testing certification?

    A software testing certification is a formal qualification that demonstrates your knowledge and competency in testing principles, techniques, and frameworks.

    The most widely recognised certification scheme globally is offered by the International Software Testing Qualifications Board (ISTQB®).

    Its Foundation Level certification is often considered the starting point for many professionals entering the field. Beyond the foundation level, there are specialised certifications focusing on:

    • Agile testing
    • Test automation
    • Test management
    • Security testing
    • Performance testing

    Each certification supports a different stage of your tester career, from entry-level to expert.

    Reasons why certification boosts testing careers

    Structured knowledge

    Many testers enter the profession through unconventional routes, perhaps transitioning from development, business analysis, or even non-technical roles.

    While on-the-job learning is invaluable, it can sometimes leave knowledge gaps.

    Software testing certification provides:

    • A structured understanding of testing principles
    • Standardised terminology used across the industry
    • Exposure to formal test techniques
    • Clear alignment with international best practices

    This structured foundation improves confidence and enables you to communicate more effectively with stakeholders. For organisations, certified professionals bring consistency and shared language, which is particularly valuable in global or distributed teams.

    Increased marketability

    In competitive job markets, hiring managers often use certifications as an initial filter.

    Why?

    Because certification demonstrates:

    • Commitment to professional development
    • Proven baseline knowledge
    • Serious intent about building a tester career

    While experience is essential, pairing experience with certification makes your CV stronger.

    Recruiters frequently include ISTQB Foundation as a desirable or required qualification in job descriptions. Even when it’s not mandatory, it can give you an advantage over equally experienced candidates without certification.

    For career changers, a software testing certification can be especially powerful. It provides tangible proof of capability when professional experience may be limited.

    Higher earning potential

    Professional certifications often correlate with higher salaries. Employers are willing to pay more for professionals who:

    • Demonstrate recognised expertise
    • Understand best practice frameworks
    • Require less foundational training
    • Contribute immediately to project quality

    As you progress into advanced certifications (such as Test Analyst, Technical Test Analyst, or Test Manager levels), your value increases further.

    For those aiming to move into leadership roles, advanced certification can support progression into:

    • Test Lead
    • QA Manager
    • Head of Quality
    • Test Consultant

    A well-planned certification pathway strengthens long-term earning potential within your tester career.

    Progression with specialisation

    Modern software testing offers multiple career paths. You might choose to specialise in:

    • Automation engineering
    • Performance testing
    • Security testing
    • Agile quality coaching
    • Test management

    A software testing certification roadmap helps you map your direction clearly.

    For example:

    • Foundation Level establishes core knowledge
    • Agile extensions support Scrum environments
    • Advanced Level certifications prepare you for leadership
    • Specialist modules deepen technical expertise

    Without a structured path, career progression can feel uncertain. Certification frameworks provide clarity and momentum.

    Increased confidence

    Confidence matters, particularly when working in cross-functional teams with developers, product owners, and senior stakeholders.

    Certification equips you with:

    • Recognised terminology
    • Industry-standard frameworks
    • Risk-based testing approaches
    • Evidence-based quality models

    This enables you to challenge constructively, contribute strategically, and influence quality decisions.

    In consultancy environments, certification can also enhance credibility with clients. When organisations engage external testing specialists, recognised qualifications provide reassurance of competence.

    For contractors and freelancers, a software testing certification strengthens professional reputation and trust.

    Agile and DevOps-ready

    Software delivery environments require testers to operate at speed while maintaining quality. Certifications increasingly reflect this shift. Agile-focused certifications help testers understand:

    • Shift-left testing
    • Continuous testing practices
    • Behaviour-driven development (BDD)
    • Collaboration within Scrum teams

    DevOps-oriented modules emphasise:

    • Automation integration
    • CI/CD pipelines
    • Risk mitigation in rapid release cycles

    By aligning certification with industry trends, you future-proof your tester career.

    International recognition

    One of the strongest advantages of globally recognised certifications is portability. The ISTQB scheme, for example, is recognised in over 100 countries. This means your qualification:

    • Travels with you
    • Supports international job applications
    • Provides consistency across global employers

    For professionals working in multinational organisations or seeking overseas opportunities, this global recognition is particularly valuable.

    Bridging the gap between theory and practice

    Some critics argue that certification is too theoretical. However, when combined with practical experience, it becomes a powerful reinforcement tool.

    Certification:

    • Clarifies why certain practices work
    • Introduces techniques you may not encounter day-to-day
    • Strengthens analytical thinking
    • Reinforces risk-based approaches

    Rather than replacing experience, a software testing certification enhances it.

    The most successful professionals integrate certification knowledge with real-world application, creating well-rounded, adaptable testing expertise.

    Is certification right for you?

    If you are:

    • Entering the profession
    • Transitioning into testing
    • Seeking promotion
    • Aiming to specialise
    • Moving into leadership

    then certification can accelerate your progress.

    For early-career professionals, it builds credibility.
    For experienced testers, it formalises expertise.
    For leaders, it demonstrates a strategic understanding of quality.

    A thoughtful certification plan can provide direction at every stage of your tester career. Map out your certification plan with TSG Training. Whether you’re beginning your tester career or stepping into leadership, we have the certification steps for you.

  • The biggest project management trends shaping 2026

    The biggest project management trends shaping 2026

    The future of project management is being shaped by rapid technological change, shifting workforce expectations, and growing organisational complexity. As we move into 2026, project managers are expected to deliver more value, faster, with fewer resources while navigating uncertainty, change fatigue, and increasing stakeholder scrutiny.

    Traditional project controls still matter, but they are no longer enough on their own. The most effective professionals are adapting their leadership, planning, and delivery in response to emerging project management trends.

    So what trends can we expect to shape project delivery in 2026?

    2026 project management trends

    Process-driven to value-driven

    One of the most significant project management trends is a clear shift away from rigid adherence to processes and towards value-based delivery.

    Organisations are becoming less interested in whether a project followed a methodology by the book and more focused on whether it delivered meaningful outcomes.

    This means project managers are increasingly expected to:

    • Align projects directly to strategic objectives
    • Measure success through benefits, not just outputs
    • Make pragmatic decisions rather than simply following the process

    While governance still exists, we expect it to be lighter, more flexible, and more focused on outcomes rather than documentation in 2026.

    Hybrid delivery is the norm

    Hybrid delivery models have largely replaced the long-running debate between Agile and Waterfall.

    In 2026, most organisations accept that no single approach works for every initiative. Instead, teams blend practices to suit context, risk, and complexity. Common patterns include:

    • Agile delivery within fixed governance frameworks
    • Iterative development paired with stage-based funding
    • Predictive planning at the portfolio level with adaptive execution

    This trend places greater responsibility on project managers to understand why methods work and to ensure their correct application.

    Project managers become strategic leaders

    The role of the project manager is evolving rapidly. Administrative coordination alone is increasingly automated, allowing project managers to focus on delivering value.

    One of the defining project management trends shaping 2026 is the expectation that project managers act as strategic leaders, capable of:

    • Influencing senior stakeholders
    • Managing ambiguity and organisational change
    • Balancing delivery pressure with team wellbeing

    This reflects a broader shift in the future of project management toward leadership, judgment, and communication skills, areas that automation cannot easily replace.

    Automation supporting (not replacing) project managers

    Artificial intelligence and automation are becoming embedded in project tools, but not in the way many once feared.

    Rather than replacing project managers, AI is increasingly used to:

    • Analyse schedules and risks
    • Identify delivery patterns and bottlenecks
    • Automate routine reporting and status updates

    This frees project professionals to focus on higher-value activities. In 2026, the most successful project managers will be those who understand how to use AI responsibly, while still applying human judgment where it matters most.

    Change is core

    Projects rarely fail solely because of poor plans. More often, they fail because people struggle to adopt change.

    As a result, change management is no longer treated as a separate discipline; it is becoming a core project management capability. This trend is shaping the future of project management in several ways:

    • Greater emphasis on communication and engagement
    • Earlier involvement of users and stakeholders
    • Recognition of emotional and behavioural responses to change

    Project managers are expected to understand not just the mechanics of delivery, but also how people experience change.

    Psychologically safe projects

    Burnout, disengagement, and high turnover have forced organisations to rethink how they deliver projects. The APM has found that 76% of project professionals experience work-related stress, with half of project managers experiencing burnout.

    One of the quieter but most important project management trends is the growing focus on sustainable delivery that reduces the risk of stress and burnout. This includes:

    • Realistic planning and prioritisation
    • Creating psychologically safe team environments
    • Addressing workload and stress proactively

    In the future of project management, success is increasingly defined by how outcomes are achieved, not just what is delivered.

    Data-driven decisions

    Project managers have access to more data than ever before, but data alone does not equal insight.

    In 2026, organisations expect project professionals to focus on the insights that data provides and:

    • Interpret delivery data effectively
    • Use metrics to support decisions, not justify them
    • Challenge misleading or incomplete reporting

    This trend reinforces the need for critical thinking and confidence, particularly when communicating with senior stakeholders.

    Evolving PMOs

    Project Management Offices (PMOs) are also changing shape. Rather than acting as compliance-focused gatekeepers, modern PMOs are becoming:

    • Centres of expertise and coaching
    • Enablers of consistent decision-making
    • Partners in strategic planning

    This reflects a broader shift in the future of project management toward alignment, adaptability, and value realisation across portfolios.

    2026: The year of more human project management

    The biggest project management trends shaping 2026 point to a clear conclusion: project management is becoming more human, more strategic, and more adaptive.

    While tools and technologies continue to evolve, the core challenge remains the same: to deliver meaningful outcomes in complex environments.

    To support your projects and help you stay ahead of the trends in 2026, TSG Training is here for upskilling and certifications. From AgilePM to Management of Portfolios, we have the training for every project manager.

  • Take the hassle out of scheduling automated test runs

    Take the hassle out of scheduling automated test runs

    Automated testing has become an essential part of modern software delivery. Teams invest heavily in test frameworks, tools, and skills to reduce risk, speed up feedback, and improve quality. Yet despite this, many organisations still experience unnecessary friction when scheduling automated test runs.

    Tests fail at the wrong time. Pipelines slow teams down. Results arrive too late to be useful. Or worse, automated tests are technically “running”, but no one trusts the outcomes.

    The good news is that scheduling automated test runs does not need to be complicated. With the right approach, automated testing can work quietly and reliably in the background, supporting delivery rather than becoming another operational headache.

    Why scheduling matters in automated testing

    Automated tests only add value when they provide timely and relevant feedback. Poorly scheduled test runs often lead to:

    • Developers waiting for results before merging code
    • Test failures blocking releases late in the process
    • Flaky tests eroding trust in automated testing
    • Overloaded environments causing false negatives

    In contrast, well-planned scheduling ensures automated tests run at the right time, on the right scope, for the right audience.

    Problems with automated test scheduling

    Before fixing the problem, it helps to recognise the patterns that cause frustration.

    1. Running everything, all the time

    One of the most common mistakes in automated testing is triggering the full test suite too frequently. Running all automated tests on every small change can:

    • Slow down pipelines
    • Increase infrastructure costs
    • Produce noisy results that are hard to interpret

    Not every test needs to run on every trigger.

    1. Tests that run too late

    If automated tests only run overnight or at the end of a sprint, defects are discovered when they are:

    • More expensive to fix
    • Harder to diagnose
    • Already blocking delivery

    Automated tests are most valuable when they fail early.

    1. Environment bottlenecks

    Automated test runs often compete for shared environments. This leads to:

    • Queued pipelines
    • Tests running against unstable data
    • Failures unrelated to the code change

    Poor scheduling can make automated testing appear unreliable, even when the tests themselves are sound.

    1. No clear ownership

    When no one owns scheduling decisions, automated tests tend to grow organically and chaotically. Over time, teams lose visibility into:

    • What runs when
    • Why certain tests exist
    • Who relies on the results

    This is how automated testing becomes “set and forget” in the worst possible way.

    Smarter automated test scheduling

    To take the hassle out of scheduling, focus on principles rather than tools.

    1. Align test runs to risk

    Not all automated tests serve the same purpose. A healthy automated testing strategy usually includes:

    • Fast, focused tests that validate core logic
    • Integration tests that confirm system behaviour
    • End-to-end tests that reflect real user journeys

    High-risk, fast-running automated tests should run frequently. Slower, broader tests can run less often without reducing confidence.

    1. Shift left, but stay practical

    Shift left does not mean running everything as early as possible; it means running the right tests early.

    For example;

    • Run unit and service-level automated tests on every commit
    • Run integration tests on merge or build
    • Schedule full regression suites overnight or on demand

    This approach keeps feedback fast while avoiding team overload.

    1. Make scheduling predictable

    Predictability builds trust in automated testing.

    Teams should be able to answer:

    • When do automated tests run?
    • How long do results take?
    • What happens when a test fails?

    If developers do not understand the schedule, they will ignore the results or bypass them entirely.

    1. Design for failure, not perfection

    Automated tests will fail. Environments will break. Pipelines will stall.

    Good scheduling anticipates this by:

    • Separating critical tests from informational ones
    • Allowing reruns without blocking progress unnecessarily
    • Making failures visible, but actionable

    Automated testing should support decision-making, not halt it indiscriminately.

    Practical scheduling models that work

    Below are proven models that reduce friction and improve confidence.

    Commit-level test runs

    What runs:

    • Unit tests
    • Fast component or service tests

    When:

    • On every commit or pull request

    Why it works: Fast feedback encourages good development habits and catches defects early without slowing teams down.

    Pipeline-based test runs

    What runs:

    • Integration tests
    • API tests
    • Key end-to-end flows

    When:

    • On merge to main branches

    Why it works: This ensures that shared code is validated before moving on in the delivery pipeline.

    Scheduled regression runs

    What runs:

    • Full automated test suites
    • Broad regression coverage

    When:

    • Overnight
    • On a regular cadence

    Why it works: These runs provide confidence without blocking daily development activity.

    On-demand test execution

    What runs:

    • Targeted automated tests

    When:

    • Triggered manually for investigations or releases

    Why it works: Empowering teams to run automated tests when needed reduces reliance on rigid schedules.

    Reducing noise in automated test results

    Scheduling alone will not fix poor signal-to-noise ratios.

    To make automated testing genuinely helpful:

    • Tag and categorise tests by purpose
    • Separate flaky tests from release-critical ones
    • Review failed tests regularly, not just pipelines

    If everything is urgent, then nothing is.

    Automation as a system

    One of the biggest mindset shifts teams can make is viewing automated testing as a system rather than just a collection of scripts.

    Scheduling sits alongside:

    • Test design
    • Environment management
    • Reporting and visibility
    • Team behaviours

    When these elements are aligned, automated tests fade into the background, doing their job quietly and consistently.

    Making automated tests a success

    Automated tests and automated testing are meant to reduce hassle, not create it. When scheduling is treated as an afterthought, even the best test frameworks struggle to deliver value.

    By aligning automated test runs to risk, timing, and team needs, organisations can:

    • Improve feedback speed
    • Increase trust in test results
    • Reduce pipeline frustration
    • Support faster, safer delivery

    The goal is simple: automated tests that run when they should, tell you what you need to know, and get out of the way. This is when automated testing truly earns its place in modern software delivery.

    To ensure your automated tests run at their best, TSG Training offers a range of software testing courses to help you succeed. From an introduction to test automation to advanced-level test techniques, we have courses for every level.

    To find the right course for your needs, browse our collection or contact our team for expert advice.

  • The importance of cost-effective software testing

    The importance of cost-effective software testing

    Organisations face increasing pressure to deliver high-quality software at speed and within budget. While testing is essential to ensuring quality, it is often viewed as a cost centre rather than a value driver.

    This perception can lead to underinvestment, rushed validation phases, and ultimately far higher costs later in the lifecycle. However, cost-effective testing is not about cutting corners. It is about maximising value, minimising waste, and ensuring smart allocation of resources.

    When approached strategically, software testing becomes one of the most powerful tools for reducing testing costs across the entire project lifecycle.

    Why testing costs matter

    Software defects are expensive, and the later they are discovered, the more costly they become.

    A defect found during requirements gathering might take minutes to fix.
    The same defect found in production could require:

    • Emergency patches
    • Customer compensation
    • Reputation repair
    • Regulatory reporting
    • Significant developer time

    The cost of failure in production can be tens or even hundreds of times higher than the cost of early detection. This is why cost-effective testing focuses on prevention and early identification rather than reactive firefighting.

    The true cost of poor quality

    When testing is reduced to a tick-box activity at the end of development, organisations risk:

    • Production outages
    • Security vulnerabilities
    • Customer churn
    • Brand damage
    • Increased technical debt

    Beyond its direct financial impact, poor-quality software drains team morale and productivity. Developers spend time fixing avoidable defects instead of innovating. Support teams become overwhelmed. Leadership loses confidence in delivery timelines. In contrast, strategic testing supports sustainable delivery and predictable outcomes.

    Cost-effective testing starts early

    One of the most effective strategies for testing cost reduction is shifting testing activities earlier in the lifecycle.

    This approach, often referred to as shift-left, includes:

    • Early involvement of testers in requirements discussions
    • Risk-based test planning
    • Static testing and reviews
    • Early validation of acceptance criteria

    When testers collaborate with business analysts and developers from the start, misunderstandings are identified sooner. Ambiguities are clarified before code is written. Fixing a requirement defect costs far less than reworking implemented functionality. Cost-effective testing, therefore, begins long before execution.

    Risk-based testing

    Not all features carry equal risk.

    Some components may:

    • Handle financial transactions
    • Process sensitive personal data
    • Integrate with third-party systems
    • Impact regulatory compliance

    Alternatively, others may be lower-priority cosmetic features. Cost-effective testing requires prioritisation. By identifying high-risk areas, teams can allocate resources intelligently.

    Risk-based testing ensures:

    • Critical paths receive deeper coverage
    • Limited budgets are spent wisely
    • Testing effort aligns with business impact

    Rather than testing everything equally, teams test strategically. This approach significantly reduces testing costs while maintaining quality.

    Automation for cost optimisation

    Automation is often discussed in the context of efficiency, but it must be implemented thoughtfully to deliver genuine savings.

    Well-designed automation can:

    • Reduce repetitive manual effort
    • Enable continuous integration
    • Provide faster regression feedback
    • Support rapid release cycles

    However, poorly planned automation can increase maintenance costs.

    Cost-effective testing through automation means:

    • Automating stable, repeatable test cases
    • Avoiding automation of rapidly changing features
    • Ensuring maintainable frameworks
    • Regularly reviewing ROI

    Automation should reduce long-term execution costs without creating unsustainable technical overhead. When aligned with business goals, automation plays a major role in reducing testing costs.

    Preventing defects is cheaper than fixing them

    A preventative mindset significantly lowers overall project expenditure. Preventative practices include:

    • Peer reviews
    • Requirements walkthroughs
    • Code reviews
    • Static analysis tools
    • Clear acceptance criteria

    By embedding quality into every stage of development, fewer defects reach later phases. This reduces:

    • Rework
    • Delays
    • Escalations
    • Emergency release cycles

    Cost-effective testing is not simply about executing tests. It is about building quality from the outset.

    Reducing rework through a clear test strategy

    A poorly defined test strategy leads to duplication, confusion, and inefficiency.

    Teams may:

    • Re-test unnecessarily
    • Miss critical scenarios
    • Waste effort on low-value activities
    • Over-document or under-document

    A clear test strategy ensures:

    • Defined scope
    • Agreed responsibilities
    • Aligned objectives
    • Efficient reporting mechanisms

    When everyone understands the purpose and priorities of testing, waste is minimised. This clarity directly contributes to testing cost reduction by eliminating avoidable inefficiencies.

    The role of skilled test professionals

    Investing in skilled testers may appear costly initially, but expertise pays dividends.

    Experienced testers:

    • Identify defects earlier
    • Apply appropriate techniques
    • Design efficient test cases
    • Understand risk-based approaches
    • Communicate issues effectively

    Inexperienced or undertrained teams may overlook critical defects or spend excessive time on low-value activities.

    Cost-effective testing depends not only on tools and processes but on capability.

    Strategic investment in training and professional development often leads to measurable long-term savings.

    Measuring testing effectiveness

    You cannot optimise what you do not measure. Key indicators of cost-effective testing include:

    • Defect detection percentage
    • Defect leakage rate
    • Cost per defect
    • Test execution efficiency
    • Automation ROI

    Tracking metrics helps organisations:

    • Identify bottlenecks
    • Adjust resource allocation
    • Improve planning accuracy
    • Demonstrate value

    Testing should be seen as an investment in risk mitigation. Measuring outcomes reinforces its financial value.

    Long-term business benefits

    Organisations that adopt cost-effective testing practices often experience:

    • Lower maintenance costs
    • Improved customer retention
    • Stronger brand reputation
    • Reduced legal and compliance risks
    • Greater stakeholder confidence

    Testing is one of the most controllable levers in software delivery. By embedding quality early, aligning effort with risk, and continuously optimising processes, businesses achieve meaningful reductions in testing costs without compromising reliability.

    Ensure cost-effectiveness in testing by upskilling with software testing courses from TSG Training. Our software testing courses implement cost-saving testing strategy with real-world applications to help deliver long-term business benefits.

  • Top Software Testing & QA Trends for 2026

    Top Software Testing & QA Trends for 2026

    Software testing has never stood still, but as we move into 2026, the pace of change is accelerating. Advances in AI, increasing regulatory pressure, and ever-faster delivery cycles are reshaping what it means to be a tester or QA professional.

    Testing is no longer just a phase at the end of development. It’s becoming a strategic capability, influencing design decisions, risk management, ethics, and customer trust.

    So what are the top software testing trends for 2026? Here we’re looking at the trends, what they mean in practice, and how testers can prepare for the next chapter of quality assurance, including the growing role of AI testing.

    The top software testing trends for 2026

    So what can we expect to see from 2026?

    AI testing becomes mainstream

    One of the most talked-about software testing trends for 2026 is the rapid adoption of AI testing tools. These tools promise faster test generation, smarter maintenance, and improved defect detection.

    In practice, AI testing is being used to:

    • Generate test cases from requirements or user behaviour
    • Identify flaky or redundant tests
    • Suggest areas of high risk based on change patterns
    • Improve test maintenance by adapting locators and scripts

    However, despite the hype, AI is not replacing testers. Instead, it’s augmenting human decision-making. Testers still need to:

    • Decide what good quality means
    • Validate whether AI-generated tests are meaningful
    • Interpret results in a business context
    • Address ethical and risk-based concerns

    In 2026, the most effective teams treat AI as a co-pilot, not an autopilot.

    Shift-left testing evolves into shift-smart

    Shift-left testing, testing earlier in the lifecycle, is nothing new. What’s changing is how it’s done. Rather than simply moving testing activities earlier, teams are adopting a shift-smart approach:

    • Testers collaborate with business analysts on acceptance criteria
    • Risk-based thinking is applied during design, not just execution
    • Test design techniques are used to clarify requirements before coding begins

    This trend reflects a broader realisation: preventing defects is far cheaper and more effective than finding them late. In 2026, testers are increasingly valued for their analytical skills, not just execution capability.

    Risk-based testing takes centre stage

    As systems become more complex and interconnected, exhaustive testing becomes impossible. One of the most important software testing trends for 2026 is the move toward explicit, evidence-driven risk-based testing.

    Teams are increasingly:

    • Prioritising tests based on business impact and likelihood of failure
    • Using lightweight risk matrices to guide coverage decisions
    • Aligning test effort with organisational risk appetite

    This approach is critical in regulated industries, where testing must demonstrate due diligence, not just coverage. Risk-based testing also integrates well with agile and DevOps environments, where time is always constrained.

    Test automation becomes more strategic

    Automation is no longer measured by how many tests are automated. In 2026, the focus is on automation value, not volume.

    Key changes include:

    • Greater emphasis on API and service-level testing
    • Reduced reliance on brittle end-to-end UI scripts
    • Automation used to support governance, audits, and change approvals

    Successful teams apply automation triage, deciding what to automate, what to keep manual, and what to ignore entirely. Automation is increasingly seen as a support function for decision-making, rather than a goal in its own right.

    Quality expands beyond functional testing

    Another major shift in the software testing trends for 2026 is the broadening definition of quality.

    Testing now routinely includes:

    • Accessibility and inclusive design checks
    • Security and data privacy validation
    • Performance and resilience testing
    • Ethical considerations, particularly in AI-driven systems

    This is especially relevant in AI testing, where questions of bias, explainability, and unintended consequences are just as important as accuracy. Testers are becoming guardians of trust, not just defect detectors.

    Testers become quality advisors

    The role of the tester is evolving. In 2026, testers are increasingly positioned as quality advisors within teams.

    Rather than being handed completed features to test, they are:

    • Influencing design decisions
    • Advising on risk and trade-offs
    • Supporting product owners and stakeholders
    • Helping teams decide when software is “good enough” to release

    This shift requires stronger communication skills, business awareness, and confidence; skills that go well beyond writing test cases.

    Compliance matters more

    With growing regulation around data, AI, and digital services, testing is playing a bigger role in governance.

    Teams are increasingly expected to provide:

    • Clear evidence of testing decisions
    • Traceability between risks, tests, and outcomes
    • Confidence that systems behave as intended under real-world conditions

    This trend aligns testing more closely with frameworks like IT service management and project governance. Testing outputs are no longer just for development teams; they’re for auditors, regulators, and senior leaders, too.

    Continuous learning becomes essential

    Perhaps the most important trend of all is that testing skills must continuously evolve.

    In 2026, testers are expected to understand:

    • Core testing principles and techniques
    • Agile and hybrid delivery models
    • Automation and AI testing concepts
    • Risk, ethics, and governance

    This makes structured learning more valuable than ever. A well-chosen training path helps testers keep pace with change while building confidence and credibility.

    How TSG Training helps testers prepare for 2026

    At TSG Training, we design our courses to align directly with emerging software testing trends for 2026. Our programmes support both newcomers and experienced professionals as testing continues to evolve.

    Our training helps learners:

    • Build strong foundations in testing principles and techniques
    • Understand modern approaches to automation and AI testing
    • Apply risk-based thinking in agile and regulated environments
    • Translate theory into real-world practice

    Whether you’re starting your journey or adapting to new responsibilities, our courses focus on practical skills that remain relevant, even as tools and technologies change.

    What this means for your testing career

    The future of testing is not about choosing between manual, automated, or AI-driven approaches. It’s about knowing when and why to use each one.

    In 2026, the most successful testers will be those who:

    • Understand fundamentals deeply
    • Adapt quickly to new tools and techniques
    • Think in terms of risk, value, and trust
    • Communicate clearly with technical and non-technical stakeholders

    These skills don’t become obsolete, and they’re precisely what organisations need as software continues to shape everyday life.

    The software testing trends for 2026 point to a profession that is becoming more strategic, more influential, and more essential. While AI testing will continue to grow, human judgment, ethical awareness, and critical thinking remain at the heart of quality assurance.

    For testers willing to learn and adapt, 2026 offers an opportunity. With the right skills, training, and mindset, QA professionals will continue to play a vital role in delivering software that people can trust.

    At TSG Training, we’re proud to support testers at every stage of that journey, helping you stay relevant, confident, and ready for what comes next. Ensure you’re ahead of the curve with the software testing trends of 2026 with our software testing courses.